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A Study On The Hotspot And Development Trend Of Educational Technology In China

Posted on:2018-10-01Degree:MasterType:Thesis
Country:ChinaCandidate:S C WangFull Text:PDF
GTID:2347330515460427Subject:Education Technology
Abstract/Summary:PDF Full Text Request
There is no doubt that now is the era of big data.With the popularity of mobile Internet and the rise of IoT,lots of data is accumulated in all industries,showing a "information explosion" situation.But the problem comes with useful data that is submerged in a large number of irrelevant information,and traditional data processing methods do not analyze the meaning behind the data quickly and effectively.So people turn their attention to data mining and machine learning,try to use a variety of techniques,successfully from the massive data mining potential valuable knowledge.In view of the data mining technology in other areas such as financial has made remarkable achievements,the education industry researchers also began to research and use of data mining technology,and education and teaching activities and papers in the field of analysis to obtain some results.Sharp tools make good work.Because Python is one of the most popular data mining framework in the industry,it integrates many commonly used data mining algorithms,and the call is simple and convenient,so it is more and more popular among researchers and application developers of all walks of life.This article in the comprehensive consideration of versatility,algorithm effects,copyright and other factors,the final choice to use the tool.In this paper,we use the graduate thesis and the core journals as the sample data,and try to use a variety of algorithms to explore the research and development of educational technology in China.The main steps of the exploratory analysis are as follows: first write the program to extract the keywords,year,source and other information,and then analysis the overall situation of the paper from the published number,source institutions and other aspects,and then write the program to establish a variety of algorithm models,by using a variety of data mining techniques,such as co-word clustering,association analysis and social network analysis to analysing the research hotspots in the field of educational technology.Finally,by the corresponding data and model results,we get some research hotspot and development of educational technology Trend.The main achievements of this study are:(1)educational technology research hot performance for the "steady progress." From the data processed by the algorithm can be seen,information technology,teaching design,distance education and other content is that we continue to study,reflecting the stability of educational technology research,while some researchers are researching MOOC,flip classroom and mobile learning and other areas to seek innovation and break.(2)the development trend of educational technology for the integration.Mainly including the three levels of integration,that is,education theory level,technical level,theory and technology integration level.Different education and learning theory,different technologies and tools,more and more in the form of the overall integration,in order to achieve the best learning results and work together.Now the mixed learning of the educational technology academics is proving.This paper analyzes the research hotspots and development trend of educational technology in China by analyzing and digging the graduate thesis and core periodicals of educational technology,and obtain the three important inspirations,that is self-confidence,both and integration.These three inspiration will help to enhance the confidence of the students,with a higher enthusiasm into the study and research,and to help graduate students to choose the topic of the paper,but also to provide some reference for the education technical workers.
Keywords/Search Tags:paper analysis, data mining, research hotspot, development trend
PDF Full Text Request
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